NDLI: Multi-objective robust tuning of STATCOM controller parameters for stability enhancement of stochastic wind-penetrated power systems

Content Provider	IET Digital Library
Author	Chi, Yuan Xu, Yan
Abstract	This study proposes a robust optimisation method for controller parameter tuning of Static Synchronous Compensators (STATCOMs) to enhance the stability of a wind-penetrated power system. The uncertainties of the wind power output and the pre-contingency state of STATCOMs, which both have a significant impact on the solutions, are addressed. Firstly, a novel index is proposed to quantify the robust optimality of the solutions, which is the sensitivity of solution results to the variations of the potential uncertainties. Then, a multi-objective robust optimisation model is proposed to simultaneously optimise three objectives: (i) short-term voltage stability index, (ii) transient (rotor angle) stability index, and (iii) robustness of the solutions. Finally, an improved non-dominated sorting genetic algorithm-II is developed with (1) Latin hypercube sampling-based initial generation, and (2) adaptive mutation rate. The proposed method is tested on a modified New England 39-bus system with industry-standard models and recommended model parameters. Simulation results verify that the much higher computational efficiency and the stronger robustness of the proposed method over conventional methods.
Starting Page	4805
Ending Page	4814
Page Count	10
ISSN	17518687
Volume Number	14
e-ISSN	17518695
Issue Number	Issue 21, Nov (2020)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-gtd/14/21
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-gtd.2019.1209
Journal	IET Generation, Transmission & Distribution
Publisher Date	2020-08-13
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Control of Electric Power System Controller Parameter Tuning Genetic Algorithm Improved Nondominated Sorting Genetic Algorithm-II Industry-standard Model Modified New England 39-bus System Multiobjective Robust Optimisation Model Multiobjective Robust Tuning Optimisation Technique Other Power Apparatus And Electric Machine Pareto Optimisation Power System Control Power System Security Power System Transient Stability Robust Optimisation Short-term Voltage Stability Index Stability Enhancement Stability in Control Theory STATCOM STATCOM Controller Parameter Static Synchronous Compensators Static VAr Compensators Stochastic System Stochastic Wind-penetrated Power System Time Varying Control System Transient Stability Index Wind Power Wind Power Output Wind Power Plant Wind-penetrated Power System
Content Type	Text
Resource Type	Article
Subject	Control and Systems Engineering Energy Engineering and Power Technology Electrical and Electronic Engineering

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